Machine Learning Engineer, Payments ML Accelerator

About StripeStripe is a leading financial infrastructure platform designed to empower businesses. From the largest corporations to the most innovative startups, millions of companies leverage Stripe to facilitate payments, enhance revenue streams, and unlock new business possibilities. Our mission is to elevate the global digital economy, presenting you with…

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

Location Details: At GoDaddy, our vision of the future of work varies by team. While some teams are fully office-based, others enjoy a hybrid setup—working remotely on selected days and in the office on others. Some teams operate entirely remotely. This particular role is classified as a hybrid position. You will split your time between remote work from home and in-office collaboration, so proximity to the office is essential. The frequency of in-office work may range from several times a week to just once a month or quarter, as determined by team leadership. The hiring manager will provide more details about the hybrid work structure for this team. Please note, this position is not available for candidates residing in Alaska, Mississippi, North Dakota, or the Virgin Islands. Join Our Innovative Team... As part of the Airo Growth and Innovation division at GoDaddy, we are on the lookout for a Principal AI/Machine Learning Scientist to join our core Applied ML team. Our mission is to cultivate and expand a community of ML scientists and engineers dedicated to learning, sharing, and growing together. We are focused on deeply understanding all major business units and strive to empower business outcomes through the use of AI and cutting-edge ML algorithms. This core Applied AI and Machine Learning team leverages large-scale data to enhance various business functions. Our objective is to develop a seamless navigation experience across different channels and web pages, simplifying the shopping journey for entrepreneurs worldwide and allowing them to efficiently find what they need on our platform. We are seeking a seasoned AI/ML Scientist to spearhead research and development in Agentic AI systems and Reinforcement Learning (RL). This role will focus on crafting intelligent agents that are capable of autonomous decision-making, planning, and reasoning within complex settings. You will operate at the crossroads of large-scale foundational models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products. Key Responsibilities: Lead the research and development of advanced Reinforcement Learning algorithms, including policy optimization, hierarchical RL, and multi-agent RL systems. Design and implement agentic architectures to facilitate autonomous reasoning, planning, and sophisticated tool utilization. Pioneer the integration of Large Language Models with RL to create transformative AI solutions.

About UsAt Aurora, our mission is to safely, swiftly, and broadly deliver the benefits of self-driving technology.The Aurora Driver is set to revolutionize mobility and logistics, paving the way for a safer, more efficient, and accessible future for everyone.At Aurora, you will confront complex challenges alongside passionate, intelligent teammates, enhancing your expertise while broadening your knowledge. For the latest news, check out aurora.tech or follow us on LinkedIn.We are seeking a Software Engineer to join our Machine Learning Data Engine: Labels Platform team. This team is dedicated to managing production services that support high-volume data labeling operations. We also provide data models and service interfaces for various autonomy data consumers, as autonomy performance heavily relies on data quality, selection, and volume. In this role, you will engage in mission-critical projects and develop innovative, industry-leading ML Ops solutions. Aurora is in a unique position to excel in this field due to our comprehensive toolchain encompassing data collection, labeling, model training, and evaluation.Your Responsibilities:Implement production best practices to enhance platform reliability.Develop new features for labeling applications.Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from inception to completion.Utilize ML Ops best practices to enhance data coverage and quality.

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

Join our dynamic team in a hybrid working environment where most US-based positions can be performed remotely, ensuring flexibility and work-life balance.Our Mission:To empower individuals by connecting them to their next outstanding opportunity.About Us:ZipRecruiter is a premier online employment marketplace, utilizing cutting-edge AI-driven matching technology to seamlessly link millions of job seekers with businesses of all sizes. Our innovative mobile, web, and email services, along with strategic partnerships with top job boards, have made ZipRecruiter the #1 rated job search application on both iOS and Android platforms.Role Overview:As a Senior Software Engineer specializing in Big Data, you will have the chance to work on large-scale applications that benefit millions of job seekers and thousands of employers. Your expertise will help us enhance our marketplace, building high-performance, scalable applications and robust data processing systems, including streaming and batch data processing, machine learning infrastructure, and much more. You will play a pivotal role in transforming lives through our essential services.We seek talented engineers who can craft maintainable, well-instrumented, and efficient code within a distributed system. You will contribute to our data-driven applications and services that power the intelligence essential to our mission.

Anduril Industries is on a mission to revolutionize military capabilities through cutting-edge technology. We harness the expertise and innovation of 21st-century companies to reshape how military systems are engineered and deployed. Our advanced Lattice OS serves as a powerful AI-driven operating system that integrates vast data streams into a real-time, 3D command and control center. In a world characterized by strategic competition, Anduril is dedicated to delivering state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking solutions to the military swiftly, transforming the defense landscape in months rather than years. **About the Team** Join our Lattice Platform team, where we are committed to constructing an integrated platform that streamlines data management, task orchestration, and system interoperability. Our team comprises skilled engineers who are passionate about deploying robust solutions in real-world scenarios, ensuring that our innovations are not just experimental but have a direct impact on the front lines. Our work encompasses critical areas such as core infrastructure, distributed systems, web development, and networking, forming the backbone of Anduril's defense technology ecosystem. By uniting diverse expertise, we aim to create a scalable platform that empowers autonomous systems and data-driven decision-making across all domains of warfare, ultimately enhancing operational efficiency and technological progress. **About the Role** We are seeking multiple Senior Software Engineers to enhance our dynamic platform team. In this pivotal role, you will develop and maintain the foundational systems that drive Anduril's defense technology offerings. Your focus will be on building infrastructure, platform services, and integration components that enable our engineering teams to operate efficiently at scale. Successful candidates will be well-versed in multiple programming languages, system architecture, and collaborative problem-solving methodologies. If you are self-driven, uphold high standards, and excel in a flexible, autonomous environment, we invite you to apply.

Join Stripe, a leading financial technology company, as a Data Scientist where you will leverage data to drive insights and influence strategic decisions. This role involves collaborating with cross-functional teams to analyze complex data sets, build predictive models, and contribute to innovative solutions that enhance our products and services.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues — from transforming transportation innovations to fast-tracking medical advancements. Our mission is realized through the development and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for business improvement. Founded by engineers with a strong focus on customer satisfaction, we eagerly embrace technical challenges, whether it's creating next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey is just beginning.About the Team:The AI Platform team is responsible for creating the foundational infrastructure that facilitates large-scale machine learning and AI on Databricks. Our offerings cover the entire ML lifecycle — from feature engineering and model training to model serving and monitoring — allowing data and AI teams to confidently build, deploy, and manage production ML systems. We delve into some of the most technically demanding aspects of the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.Our goal is to simplify the process for enterprises to operationalize AI. We achieve this through a unified, governed, and high-performance AI platform that integrates seamlessly with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a streamlined experience. You will be part of a team that delivers products utilized by thousands of the world's most advanced data and AI organizations.In this role, you will shape the vision and roadmap for AI platform product areas, defining how customers construct, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate with engineering teams to provide a cohesive and robust pathway from experimentation to production.

Join DigitalOcean, a leading cloud infrastructure provider, as a Senior Solutions Architect II - AI/ML. In this pivotal role, you will leverage your expertise in AI and Machine Learning to develop innovative solutions that empower our customers. You will collaborate with cross-functional teams to understand customer needs and architect solutions that drive their success.

Join our dynamic team at Sonsoft Inc., where we leverage cutting-edge technology to drive data-driven decision-making. As a Data Science and Analytics Specialist, you will play a crucial role in analyzing complex datasets, developing predictive models, and providing actionable insights that influence business strategy.

Location: SeattleTeam: Programmatic Experience Group Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group at impact.com. This position centers on designing and implementing machine learning models that improve yield, pricing, and inventory allocation across a large-scale programmatic marketplace. The work combines data science, platform engineering, and marketplace economics to drive measurable results. What you will do Architect and build machine learning models to optimize programmatic marketplace outcomes. Design and maintain data pipelines that support these models. Develop features to enhance model performance and accuracy. Deploy real-time inference systems to enable rapid decision-making. Influence the balance between advertiser performance and publisher monetization within the marketplace. Collaboration and ownership This is a high-ownership individual contributor role. The Senior Data Scientist works closely with Product, Data Science, and Programmatic Delivery Engine Engineering teams. The position offers significant autonomy and calls for both analytical rigor and practical machine learning engineering skills.

Join us as a Summer Camp Intern at Galileo Learning, where you will play a pivotal role in creating an unforgettable camp experience for our young innovators. Your responsibilities will include warmly welcoming campers and their families, ensuring their safety, leading engaging activities, and fostering a joyful camp atmosphere. This is a fantastic opportunity to gain practical experience in customer service, teamwork, and leadership while making lasting memories during our seasonal camp. This part-time position requires availability from Monday to Friday.Interns will be assigned to either the AM or PM shift:AM Shift: Typically scheduled from 7:45 AM to 12:30 PM, working up to 25 hours weekly.PM Shift: Typically scheduled from 12:00 PM to 6:00 PM, working up to 35 hours weekly.Core Responsibilities:Engage Fully in Camp Activities:Collaborate with fellow interns to design and execute exciting daily activities.Monitor camper activities to ensure safety and a spirited environment.Participate in camp songs, chants, and ceremonies to create memorable experiences.Utilize your individual talents to inspire joy among campers.Facilitate Camp Experience:Guide groups through activities, transitions, and care periods with support from the leadership team.Prepare materials for camp activities while maintaining a safe and organized environment.Prioritize camper safety and foster an inclusive atmosphere.Build meaningful connections with campers to enhance their experience.Contribute creatively by designing decorations and organizing materials.Assist with daily site setup and breakdown.Provide Exceptional Customer Service:Greet campers and families enthusiastically, ensuring a positive drop-off experience.Assist with check-in/check-out processes to streamline attendance.Engage with camper guardians to ensure a positive conclusion to their camp day.Build Your Skills with Ongoing Training and Support:Complete paid online training covering innovative educational practices and Galileo policies prior to camp.Participate in two in-person training sessions to prepare for camp and meet your team.Take on various administrative tasks to support camp operations.Enhance your professional development through feedback and hands-on learning guided by camp leaders.PAY & PERKS:Your pay will depend on multiple factors, including location and tenure, with hourly rates ranging from $17.33 to $22.05.

About HiveHive is at the forefront of cloud-based AI technologies, dedicated to helping organizations comprehend, search, and generate content efficiently. Trusted by some of the largest and most forward-thinking companies globally, Hive empowers developers with an extensive array of top-tier, pre-trained AI models, managing billions of API requests monthly. Our innovative turnkey software applications, powered by proprietary AI models and datasets, are revolutionizing sectors through enhanced content moderation, brand protection, sponsorship measurement, context-aware ad targeting, and much more.With over $120M raised from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, our team of over 250 professionals spans across our offices in San Francisco, Seattle, and Delhi. We invite you to be a part of shaping the future of AI.About the RoleAs a Product Manager for AutoML, you will play a pivotal role within Hive's dynamic team, facilitating collaboration across various disciplines to design, launch, and refine features for our innovative AutoML platform. This platform enables our customers to effortlessly train, evaluate, and deploy tailored machine learning models. Starting with their own data, clients are guided step-by-step to create fully operational models, accessible through an API endpoint, akin to our pre-trained models.In this capacity, you will collaborate closely with stakeholders to define product requirements and oversee implementation to fruition, steering development efforts between engineering and design. Your passion for organization, experience with agile methodologies, understanding of software engineering best practices, and proficiency in communication and problem-solving will be crucial, along with a background in managing enterprise projects.

The Allen Institute is seeking interns for its Robotics team in Seattle, WA. This full-time, 12-week research internship welcomes undergraduate, master's, and PhD students with a focus on AI-related fields. Interns are expected to work on-site at the Seattle office, though specific arrangements may vary by team. For questions about work location or flexibility, contact the recruiter directly. Role overview Interns will join a group dedicated to advancing robotics research. The work centers on tackling challenges in foundation models and robotics competencies. Projects may involve contributing to open datasets, developing benchmarks, and building resources that serve the broader robotics community. Who can apply Open to undergraduate, master's, and PhD students in AI-related disciplines Strong interest in robotics, computer vision, machine learning, natural language processing, agents, or embodied AI International applicants welcome; visa sponsorship is available Applicants should have a solid research background Internship details Full-time, 12-week program Start dates are flexible On-site in Seattle, WA Compensation Annualized compensation rates depend on current degree enrollment: Undergraduate Research Intern: $94,320 per year Master's Research Intern: $106,110 per year PhD Research Intern: $140,000 per year

OVERVIEWJoin the innovative team at Welo Data as a Data Annotation Specialist in Seattle. This exciting role allows you to play a crucial part in the development of advanced AI technologies. You will directly engage with state-of-the-art AI products, ensuring the accuracy and quality of data that enhances machine learning models through meticulous analysis and quality assurance.Project DetailsJob Title: Data Annotation SpecialistLocation: Seattle (On-site)Hours: Full-time, 40 hours per weekStart Date: November 2025Employment Type: W2 Full-Time EmployeePlease note: Valid work authorization in the US is required (Welo Data does not sponsor VISAs at this time).This position offers a remarkable opportunity to contribute to the future of AI technology by testing new products, updating machine learning models, and ensuring the delivery of high-quality data for impactful AI solutions.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

Role Overview The Allen Institute is seeking a Research Engineer to join the FlexOlmo team in Seattle, WA. This position focuses on advancing large language model architectures, especially in Mixture-of-Experts (MoE), long-context language models (LCLMs), and flexible data utilization. Work will be based at our Seattle offices. For details about on-site expectations, please reach out to the recruiter. About the FlexOlmo Team FlexOlmo designs new model architectures and training methods to help models use data more effectively. The team explores improved training strategies, inference-time conditioning, and retrieval, broadening the types of data models can leverage and ultimately raising performance. FlexOlmo also develops scientific approaches for evaluating and understanding these systems. The team’s work includes impactful research and open-source tools that support NLP research worldwide. The initial release in July 2025 introduced a significant Mixture-of-Experts architecture, with future projects targeting further innovation in AI. About the Allen Institute The Allen Institute for AI (Ai2) is a non-profit focused on foundational AI research and innovation. The organization creates large-scale open models, datasets, and artifacts such as OLMo, Tulu, Asta, and OlmoEarth. Teams at Ai2 bring together leading scientific and engineering talent to pursue open AI, moving quickly from idea to action through collaboration. What You Will Do Contribute to the development of next-generation language model architectures, with an emphasis on Mixture-of-Experts and long-context models Apply and extend methods for flexible data utilization during training and inference Translate high-level research goals into concrete implementation steps and methodologies Work collaboratively within a team of researchers and engineers Present findings and explain complex technical concepts clearly Help create open-source tools that support the NLP research community What We’re Looking For Hands-on engineering experience in deep learning and natural language processing Strong understanding of language models and transformer architectures, especially Mixture-of-Experts Ability to work independently and collaboratively Experience translating research objectives into actionable steps Clear communication skills for technical and non-technical audiences Interest in advancing open AI and contributing to impactful research Compensation Base salary range: $128,880 to $193,320. Compensation includes generous bonus plans.

Role overview Opendoor is looking for an Applied Scientist to join the Seattle team. This role is open to candidates from mid to principal levels. The position centers on applied machine learning and artificial intelligence, with a focus on improving the company’s valuation systems. The work directly supports more accurate and transparent pricing for customers. What you will do Develop and refine machine learning models that power Opendoor’s pricing and valuation systems Tackle a variety of machine learning challenges, such as multi-modal modeling and optimizing operations Work with both structured and unstructured data to strengthen decision-making processes Contribute to projects that influence how Opendoor delivers value to customers Location This position is based in Opendoor’s Seattle, Washington office.

Join our innovative team at Comtech LLC as a Senior Research Scientist / Data Scientist. In this pivotal role, you will leverage your expertise in data analytics and research methodologies to drive impactful insights and solutions. Collaborate with multidisciplinary teams to enhance our projects and contribute to groundbreaking advancements in technology.